Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray development.

abstract：BACKGROUND:Proteins undergo conformational transitions over different time scales. These transitions are closely intertwined with the protein's function. Numerous standard techniques such as principal component analysis are used to detect these transitions in molecular dynamics simulations. In this work, we add a new m...

journal_title：BMC bioinformatics

authors： Karain WI

更新日期：2017-11-28 00:00:00

abstract：BACKGROUND:Stable isotope tracing can follow individual atoms through metabolic transformations through the detection of the incorporation of stable isotope within metabolites. This resulting data can be interpreted in terms related to metabolic flux. However, detection of a stable isotope in metabolites by mass spectr...

journal_title：BMC bioinformatics

authors： Jin H,Moseley HNB

更新日期：2019-10-28 00:00:00

abstract：BACKGROUND:In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene selection and identifying relevant and non-redundant marker genes from high dimensional gene express...

journal_title：BMC bioinformatics

authors： Acharya S,Cui L,Pan Y

更新日期：2020-12-30 00:00:00

abstract：BACKGROUND:During evolution, large-scale genome rearrangements of chromosomes shuffle the order of homologous genome sequences ("synteny blocks") across species. Some years ago, a controversy erupted in genome rearrangement studies over whether rearrangements recur, causing breakpoints to be reused. METHODS:We investi...

journal_title：BMC bioinformatics

authors： Attie O,Darling AE,Yancopoulos S

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:Several large-scale gene co-expression networks have been constructed successfully for predicting gene functional modules and cis-regulatory elements in Arabidopsis (Arabidopsis thaliana). However, these networks are usually constructed and analyzed in an ad hoc manner. In this study, we propose a completely...

journal_title：BMC bioinformatics

authors： Ruan J,Perez J,Hernandez B,Lei C,Sunter G,Sponsel VM

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

journal_title：BMC bioinformatics

authors： Jin B,Muller B,Zhai C,Lu X

更新日期：2008-12-08 00:00:00

abstract：BACKGROUND:Study on long non-coding RNAs (lncRNAs) has been promoted by high-throughput RNA sequencing (RNA-Seq). However, it is still not trivial to identify lncRNAs from the RNA-Seq data and it remains a challenge to uncover their functions. RESULTS:We present a computational pipeline for detecting novel lncRNAs fro...

journal_title：BMC bioinformatics

authors： Sun L,Zhang Z,Bailey TL,Perkins AC,Tallack MR,Xu Z,Liu H

更新日期：2012-12-13 00:00:00

abstract：BACKGROUND:Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamical models requires the development of effective statistical methods to calibrat...

journal_title：BMC bioinformatics

authors： Komorowski M,Finkenstädt B,Harper CV,Rand DA

更新日期：2009-10-19 00:00:00

abstract：BACKGROUND:Protein function prediction is an important problem in the post-genomic era. Recent advances in experimental biology have enabled the production of vast amounts of protein-protein interaction (PPI) data. Thus, using PPI data to functionally annotate proteins has been extensively studied. However, most existi...

journal_title：BMC bioinformatics

authors： Xiong W,Liu H,Guan J,Zhou S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:In the past decade, bioinformatics tools have matured enough to reliably perform sophisticated primary data analysis on Next Generation Sequencing (NGS) data, such as mapping, assemblies and variant calling, however, there is still a dire need for improvements in the higher level analysis such as NGS data or...

journal_title：BMC bioinformatics

authors： Hadj Khodabakhshi A,Fejes AP,Birol I,Jones SJ

更新日期：2013-05-28 00:00:00

abstract：BACKGROUND:Phylogenetic profiles record the occurrence of homologs of genes across fully sequenced organisms. Proteins with similar profiles are typically components of protein complexes or metabolic pathways. Various existing methods measure similarity between two profiles and, hence, the likelihood that the two prote...

journal_title：BMC bioinformatics

authors： Cokus S,Mizutani S,Pellegrini M

更新日期：2007-05-22 00:00:00

abstract：BACKGROUND:Identification of homologous genes is fundamental to comparative genomics, functional genomics and phylogenomics. Extensive public homology databases are of great value for investigating homology but need to be continually updated to incorporate new sequences. As new sequences are rapidly being generated, th...

journal_title：BMC bioinformatics

authors： Sheikhizadeh Anari S,de Ridder D,Schranz ME,Smit S

更新日期：2018-09-26 00:00:00

abstract：BACKGROUND:The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasing evidence has shown that genomic DNA sequence itself is highly predictive of nucleosome positioning genome-wide. Therefore a fast software t...

journal_title：BMC bioinformatics

authors： Xi L,Fondufe-Mittendorf Y,Xia L,Flatow J,Widom J,Wang JP

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...

journal_title：BMC bioinformatics

authors： Mohamadlou H,Shope JC,Flann NS

更新日期：2014-01-30 00:00:00

abstract：BACKGROUND:The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few years, especially of deep learning based approaches. Recently, the deep forest model has been proposed a...

journal_title：BMC bioinformatics

authors： Guo Y,Liu S,Li Z,Shang X

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:The toxic effects of many simple organic compounds stem from their biotransformation to chemically reactive metabolites which bind covalently to cellular proteins. To understand the mechanisms of cytotoxic responses it may be important to know which proteins become adducted and whether some may be common tar...

journal_title：BMC bioinformatics

authors： Hanzlik RP,Koen YM,Theertham B,Dong Y,Fang J

更新日期：2007-03-16 00:00:00

abstract：BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

journal_title：BMC bioinformatics

authors： Hofmeister BT,Schmitz RJ

更新日期：2018-04-25 00:00:00

abstract：BACKGROUND:Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing inf...

journal_title：BMC bioinformatics

authors： Bansal V,Libiger O

更新日期：2015-01-16 00:00:00

abstract：BACKGROUND:Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge o...

journal_title：BMC bioinformatics

authors： Wang W,Zhang X

更新日期：2011-06-30 00:00:00

abstract：BACKGROUND:In recent years, a considerable amount of research effort has been directed to the analysis of biological networks with the availability of genome-scale networks of genes and/or proteins of an increasing number of organisms. A protein-protein interaction (PPI) network is a particular biological network which...

journal_title：BMC bioinformatics

authors： Turanalp ME,Can T

更新日期：2008-06-11 00:00:00

abstract：BACKGROUND:Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sources for exploiting m...

journal_title：BMC bioinformatics

authors： Mei S,Fei W,Zhou S

更新日期：2011-02-02 00:00:00

abstract：BACKGROUND:In real-time PCR data analysis, the cycle threshold (CT) method is currently the gold standard. This method is based on an assumption of equal PCR efficiency in all reactions, and precision may suffer if this condition is not met. Nonlinear regression analysis (NLR) or curve fitting has therefore been sugges...

journal_title：BMC bioinformatics

authors： Goll R,Olsen T,Cui G,Florholmen J

更新日期：2006-03-03 00:00:00

abstract：BACKGROUND:While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for ...

journal_title：BMC bioinformatics

authors： Atallah MB,Tandon V,Hiam KJ,Boyce H,Hori M,Atallah W,Spitzer MH,Engleman E,Mallick P

更新日期：2020-08-10 00:00:00

abstract：BACKGROUND:The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appea...

journal_title：BMC bioinformatics

authors： Tatusov RL,Fedorova ND,Jackson JD,Jacobs AR,Kiryutin B,Koonin EV,Krylov DM,Mazumder R,Mekhedov SL,Nikolskaya AN,Rao BS,Smirnov S,Sverdlov AV,Vasudevan S,Wolf YI,Yin JJ,Natale DA

更新日期：2003-09-11 00:00:00

abstract：BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

journal_title：BMC bioinformatics

authors： Fang L,Hu J,Wang D,Wang K

更新日期：2018-05-23 00:00:00

abstract：BACKGROUND:Maize is a leading crop in the modern agricultural industry that accounts for more than 40% grain production worldwide. THe double haploid technique that uses fewer breeding generations for generating a maize line has accelerated the pace of development of superior commercial seed varieties and has been tran...

journal_title：BMC bioinformatics

authors： Veeramani B,Raymond JW,Chanda P

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:Accurately prioritizing candidate disease genes is an important and challenging problem. Various network-based methods have been developed to predict potential disease genes by utilizing the disease similarity network and molecular networks such as protein interaction or gene co-expression networks. Although...

journal_title：BMC bioinformatics

authors： Ni J,Koyuturk M,Tong H,Haines J,Xu R,Zhang X

更新日期：2016-11-10 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play several roles in living cells, and computational PPI prediction is a major focus of many researchers. The three-dimensional (3D) structure and binding surface are important for the design of PPI inhibitors. Therefore, rigid body protein-protein docking calculations fo...

journal_title：BMC bioinformatics

authors： Hayashi T,Matsuzaki Y,Yanagisawa K,Ohue M,Akiyama Y

更新日期：2018-05-08 00:00:00

abstract：BACKGROUND:For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is available, precise annotation of genes is lacking behind. Finding the corresponding gene of a given protein sequence by means of conventional too...

journal_title：BMC bioinformatics

authors： Keller O,Odronitz F,Stanke M,Kollmar M,Waack S

更新日期：2008-06-13 00:00:00

abstract：BACKGROUND:The lack of sufficient training data is the limiting factor for many Machine Learning applications in Computational Biology. If data is available for several different but related problem domains, Multitask Learning algorithms can be used to learn a model based on all available information. In Bioinformatics...

journal_title：BMC bioinformatics

authors： Widmer C,Toussaint NC,Altun Y,Rätsch G

更新日期：2010-10-26 00:00:00